IEEE

Semi-Supervised Graph Structure Learning via Dual Reinforcement of Label and Prior Structure

Abstract: Graph neural networks (GNNs) have achieved considerable success in dealing with graph-structured data by the message-passing mechanism. Actually, this mechanism relies on a fundamental ...
IEEE

Distributed Graph Learning From Smooth Data: A Bayesian Framework

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
Frontiers

Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers

Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...
blog.lib.umn.edu

Minnesota Carlson building reimagination puts experiential learning on center stage

Construction for Minnesota Carlson’s building reimagination, known as Connecting Carlson, began in December 2024 and can be seen—and heard—going strong as the transformation and modernization of ...